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Speaker Classification I

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Cover of 'Speaker Classification I'

Table of Contents

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    Book Overview
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    Chapter 1 How Is Individuality Expressed in Voice? An Introduction to Speech Production and Description for Speaker Classification
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    Chapter 2 Speaker Classification Concepts: Past, Present and Future
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    Chapter 3 Speaker Characteristics
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    Chapter 4 Foreign Accent
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    Chapter 5 Acoustic Analysis of Adult Speaker Age
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    Chapter 6 Speech Under Stress: Analysis, Modeling and Recognition
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    Chapter 7 Speaker Characteristics and Emotion Classification
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    Chapter 8 Emotions in Speech: Juristic Implications
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    Chapter 9 Application of Speaker Classification in Human Machine Dialog Systems
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    Chapter 10 Speaker Classification in Forensic Phonetics and Acoustics
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    Chapter 11 Forensic Automatic Speaker Classification in the “Coming Paradigm Shift”
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    Chapter 12 The Many Roles of Speaker Classification in Speaker Verification and Identification
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    Chapter 13 Frame Based Features
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    Chapter 14 Higher-Level Features in Speaker Recognition
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    Chapter 15 Enhancing Speaker Discrimination at the Feature Level
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    Chapter 16 Classification Methods for Speaker Recognition
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    Chapter 17 Multi-stream Fusion for Speaker Classification
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    Chapter 18 Evaluations of Automatic Speaker Classification Systems
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    Chapter 19 An Introduction to Application-Independent Evaluation of Speaker Recognition Systems
Attention for Chapter 10: Speaker Classification in Forensic Phonetics and Acoustics
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Chapter title
Speaker Classification in Forensic Phonetics and Acoustics
Chapter number 10
Book title
Speaker Classification I
Published by
Springer, Berlin, Heidelberg, January 2007
DOI 10.1007/978-3-540-74200-5_10
Book ISBNs
978-3-54-074186-2, 978-3-54-074200-5
Authors

Michael Jessen, Jessen, Michael

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Spain 1 2%
Unknown 41 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 26%
Student > Doctoral Student 6 14%
Researcher 6 14%
Student > Bachelor 3 7%
Professor 3 7%
Other 4 9%
Unknown 10 23%
Readers by discipline Count As %
Linguistics 14 33%
Computer Science 7 16%
Engineering 3 7%
Social Sciences 2 5%
Psychology 2 5%
Other 3 7%
Unknown 12 28%